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Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize
Yield improvement is a top priority for maize breeding. Kernel size and weight are important determinants of maize grain yield. In this study, a recombinant inbred line (RIL) population and an association panel were used to identify quantitative trait loci (QTLs) for four maize kernel-related traits...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society of Breeding
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776153/ https://www.ncbi.nlm.nih.gov/pubmed/31598074 http://dx.doi.org/10.1270/jsbbs.18185 |
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author | Hao, Derong Xue, Lin Zhang, Zhenliang Cheng, Yujing Chen, Guoqing Zhou, Guangfei Li, Pengcheng Yang, Zefeng Xu, Chenwu |
author_facet | Hao, Derong Xue, Lin Zhang, Zhenliang Cheng, Yujing Chen, Guoqing Zhou, Guangfei Li, Pengcheng Yang, Zefeng Xu, Chenwu |
author_sort | Hao, Derong |
collection | PubMed |
description | Yield improvement is a top priority for maize breeding. Kernel size and weight are important determinants of maize grain yield. In this study, a recombinant inbred line (RIL) population and an association panel were used to identify quantitative trait loci (QTLs) for four maize kernel-related traits: kernel length, width, thickness and 100-kernel weight. Twenty-seven QTLs were identified for kernel-related traits across three environments and the best linear unbiased predictions (BLUPs) of each trait by linkage analysis, and four QTLs were stably detected in more than two environments. Additionally, 29 single nucleotide polymorphisms (SNPs) were identified as significantly associated with the four kernel-related traits and BLUPs by genome-wide association study, and two loci could be stably detected in both environments. In total, four QTLs/SNPs were co-associated with various traits in both populations. Using combined-linkage analysis and association mapping, PZE-101066560 on chromosome 1, associated with kernel width and with 100-kernel weight in the association panel, was co-localized within the QTL interval of qKW1-3 for kernel width in the RILs. Two annotated genes in the candidate region were considered as potential candidate genes. The QTLs and candidate genes identified here will facilitate molecular breeding for grain yield improvement in maize. |
format | Online Article Text |
id | pubmed-6776153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-67761532019-10-09 Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize Hao, Derong Xue, Lin Zhang, Zhenliang Cheng, Yujing Chen, Guoqing Zhou, Guangfei Li, Pengcheng Yang, Zefeng Xu, Chenwu Breed Sci Research Paper Yield improvement is a top priority for maize breeding. Kernel size and weight are important determinants of maize grain yield. In this study, a recombinant inbred line (RIL) population and an association panel were used to identify quantitative trait loci (QTLs) for four maize kernel-related traits: kernel length, width, thickness and 100-kernel weight. Twenty-seven QTLs were identified for kernel-related traits across three environments and the best linear unbiased predictions (BLUPs) of each trait by linkage analysis, and four QTLs were stably detected in more than two environments. Additionally, 29 single nucleotide polymorphisms (SNPs) were identified as significantly associated with the four kernel-related traits and BLUPs by genome-wide association study, and two loci could be stably detected in both environments. In total, four QTLs/SNPs were co-associated with various traits in both populations. Using combined-linkage analysis and association mapping, PZE-101066560 on chromosome 1, associated with kernel width and with 100-kernel weight in the association panel, was co-localized within the QTL interval of qKW1-3 for kernel width in the RILs. Two annotated genes in the candidate region were considered as potential candidate genes. The QTLs and candidate genes identified here will facilitate molecular breeding for grain yield improvement in maize. Japanese Society of Breeding 2019-09 2019-06-27 /pmc/articles/PMC6776153/ /pubmed/31598074 http://dx.doi.org/10.1270/jsbbs.18185 Text en Copyright © 2019 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Hao, Derong Xue, Lin Zhang, Zhenliang Cheng, Yujing Chen, Guoqing Zhou, Guangfei Li, Pengcheng Yang, Zefeng Xu, Chenwu Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize |
title | Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize |
title_full | Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize |
title_fullStr | Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize |
title_full_unstemmed | Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize |
title_short | Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize |
title_sort | combined linkage and association mapping reveal candidate loci for kernel size and weight in maize |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776153/ https://www.ncbi.nlm.nih.gov/pubmed/31598074 http://dx.doi.org/10.1270/jsbbs.18185 |
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